Non-invasive characterization of complex coronary lesions

Abstract Conventional invasive diagnostic imaging techniques do not adequately resolve complex Type B and C coronary lesions, which present unique challenges, require personalized treatment and result in worsened patient outcomes. These lesions are often excluded from large-scale non-invasive clinic...

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Main Authors: Madhurima Vardhan, John Gounley, S. James Chen, Eric C. Chi, Andrew M. Kahn, Jane A. Leopold, Amanda Randles
Format: Article
Language:English
Published: Nature Publishing Group 2021-04-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-86360-6
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spelling doaj-1e96e5341ee647abbc9a8c04788e3e3e2021-04-18T11:34:16ZengNature Publishing GroupScientific Reports2045-23222021-04-0111111510.1038/s41598-021-86360-6Non-invasive characterization of complex coronary lesionsMadhurima Vardhan0John Gounley1S. James Chen2Eric C. Chi3Andrew M. Kahn4Jane A. Leopold5Amanda Randles6Department of Biomedical Engineering, Duke UniversityComputational Sciences and Engineering Division, Oak Ridge National LaboratoryDepartment of Medicine/Cardiology, University of Colorado AMCDepartment of Statistics, North Carolina State UniversityDivision of Cardiovascular Medicine, University of California San DiegoDivision of Cardiovascular Medicine, Brigham and Women’s Hospital, Harvard Medical SchoolDepartment of Biomedical Engineering, Duke UniversityAbstract Conventional invasive diagnostic imaging techniques do not adequately resolve complex Type B and C coronary lesions, which present unique challenges, require personalized treatment and result in worsened patient outcomes. These lesions are often excluded from large-scale non-invasive clinical trials and there does not exist a validated approach to characterize hemodynamic quantities and guide percutaneous intervention for such lesions. This work identifies key biomarkers that differentiate complex Type B and C lesions from simple Type A lesions by introducing and validating a coronary angiography-based computational fluid dynamic (CFD-CA) framework for intracoronary assessment in complex lesions at ultrahigh resolution. Among 14 patients selected in this study, 7 patients with Type B and C lesions were included in the complex lesion group including ostial, bifurcation, serial lesions and lesion where flow was supplied by collateral bed. Simple lesion group included 7 patients with lesions that were discrete, $$<10\hbox {mm}$$ < 10 mm long and readily accessible. Intracoronary assessment was performed using CFD-CA framework and validated by comparing to clinically measured pressure-based index, such as FFR. Local pressure, endothelial shear stress (ESS) and velocity profiles were derived for all patients. We validates the accuracy of our CFD-CA framework and report excellent agreement with invasive measurements ( $$n=14, R^2 = 0.6, p = 0.0013$$ n = 14 , R 2 = 0.6 , p = 0.0013 ). Ultra-high resolution achieved by the model enable physiological assessment in complex lesions and quantify hemodynamic metrics in all vessels up to 1mm in diameter. Importantly, we demonstrate that in contrast to traditional pressure-based metrics, there is a significant difference in the intracoronary hemodynamic forces, such as ESS, in complex lesions compared to simple lesions at both resting and hyperemic physiological states [n = 14, $$p=0.03$$ p = 0.03 ]. Higher ESS was observed in the complex lesion group ( $$7.0\pm 4.7$$ 7.0 ± 4.7 Pa) than in simple lesion group ( $$4.8\pm 3.6$$ 4.8 ± 3.6 Pa). Complex coronary lesions have higher ESS compared to simple lesions, such differential hemodynamic evaluation can provide much the needed insight into the increase in adverse outcomes for such patients and has incremental prognostic value over traditional pressure-based indices, such as FFR.https://doi.org/10.1038/s41598-021-86360-6
collection DOAJ
language English
format Article
sources DOAJ
author Madhurima Vardhan
John Gounley
S. James Chen
Eric C. Chi
Andrew M. Kahn
Jane A. Leopold
Amanda Randles
spellingShingle Madhurima Vardhan
John Gounley
S. James Chen
Eric C. Chi
Andrew M. Kahn
Jane A. Leopold
Amanda Randles
Non-invasive characterization of complex coronary lesions
Scientific Reports
author_facet Madhurima Vardhan
John Gounley
S. James Chen
Eric C. Chi
Andrew M. Kahn
Jane A. Leopold
Amanda Randles
author_sort Madhurima Vardhan
title Non-invasive characterization of complex coronary lesions
title_short Non-invasive characterization of complex coronary lesions
title_full Non-invasive characterization of complex coronary lesions
title_fullStr Non-invasive characterization of complex coronary lesions
title_full_unstemmed Non-invasive characterization of complex coronary lesions
title_sort non-invasive characterization of complex coronary lesions
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2021-04-01
description Abstract Conventional invasive diagnostic imaging techniques do not adequately resolve complex Type B and C coronary lesions, which present unique challenges, require personalized treatment and result in worsened patient outcomes. These lesions are often excluded from large-scale non-invasive clinical trials and there does not exist a validated approach to characterize hemodynamic quantities and guide percutaneous intervention for such lesions. This work identifies key biomarkers that differentiate complex Type B and C lesions from simple Type A lesions by introducing and validating a coronary angiography-based computational fluid dynamic (CFD-CA) framework for intracoronary assessment in complex lesions at ultrahigh resolution. Among 14 patients selected in this study, 7 patients with Type B and C lesions were included in the complex lesion group including ostial, bifurcation, serial lesions and lesion where flow was supplied by collateral bed. Simple lesion group included 7 patients with lesions that were discrete, $$<10\hbox {mm}$$ < 10 mm long and readily accessible. Intracoronary assessment was performed using CFD-CA framework and validated by comparing to clinically measured pressure-based index, such as FFR. Local pressure, endothelial shear stress (ESS) and velocity profiles were derived for all patients. We validates the accuracy of our CFD-CA framework and report excellent agreement with invasive measurements ( $$n=14, R^2 = 0.6, p = 0.0013$$ n = 14 , R 2 = 0.6 , p = 0.0013 ). Ultra-high resolution achieved by the model enable physiological assessment in complex lesions and quantify hemodynamic metrics in all vessels up to 1mm in diameter. Importantly, we demonstrate that in contrast to traditional pressure-based metrics, there is a significant difference in the intracoronary hemodynamic forces, such as ESS, in complex lesions compared to simple lesions at both resting and hyperemic physiological states [n = 14, $$p=0.03$$ p = 0.03 ]. Higher ESS was observed in the complex lesion group ( $$7.0\pm 4.7$$ 7.0 ± 4.7 Pa) than in simple lesion group ( $$4.8\pm 3.6$$ 4.8 ± 3.6 Pa). Complex coronary lesions have higher ESS compared to simple lesions, such differential hemodynamic evaluation can provide much the needed insight into the increase in adverse outcomes for such patients and has incremental prognostic value over traditional pressure-based indices, such as FFR.
url https://doi.org/10.1038/s41598-021-86360-6
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